Reliability of CSRS-PPP for Validating the Egyptian Geodetic Cors Networks
e
22 apr 2022
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 22 apr 2022
Pagine: 58 - 76
Ricevuto: 21 ott 2020
Accettato: 04 mar 2022
DOI: https://doi.org/10.2478/arsa-2022-0004
Parole chiave
© 2022 Ashraf Abdallah et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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List of CORS
Station ID | Latitude | Longitude | H | Station ID | Latitude | Longitude | H |
---|---|---|---|---|---|---|---|
ADFO | N24°58′46.241″ | E32°52′49.913″ | 105.97 | QANA | N26°09′22.293″ | E32°43′18.173″ | 101.20 |
ADWH | N28°41′41.549″ | E30°46′01.677″ | 64.61 | QANT | N30°51′27.105″ | E32°18′36.257″ | 34.11 |
ASHM | N30°17′40.001″ | E30°59′04.720″ | 39.67 | RMDN | N30°17′26.508″ | E31°44′23.437″ | 149.50 |
AYAT | N29°37′06.841″ | E31°15′22.315″ | 58.82 | RSHD | N31°24′19.102″ | E30°25′17.957″ | 36.85 |
BADR | N30°34′57.049″ | E30°42′37.032″ | 47.94 | SDAT | N30°22′31.934″ | E30°29′34.676″ | 71.50 |
BLTM | N31°33′11.924″ | E31°05′40.480″ | 30.37 | SHKH | N31°06′24.609″ | E30°56′26.923″ | 30.55 |
BNHA | N30°28′15.304″ | E31°10′45.118″ | 46.02 | SMLT | N28°18′38.917″ | E30°42′39.376″ | 71.19 |
CARO | N30°01′55.725″ | E31°12′55.058″ | 75.57 | SUEF | N29°04′53.755″ | E31°05′30.069″ | 60.47 |
DMNH | N31°02′27.912″ | E30°27′57.358″ | 41.63 | SUZE | N29°59′18.836″ | E32°31′19.498″ | 47.13 |
ETSA | N29°14′15.413″ | E30°47′49.999″ | 41.64 | TANT | N30°47′36.413″ | E30°59′35.224″ | 40.81 |
HMOL | N31°18′35.684″ | E31°09′02.195″ | 44.08 | THAT | N26°46′09.649″ | E31°29′50.601″ | 87.69 |
ISML | N30°36′15.307″ | E32°18′00.940″ | 43.27 | TSHT | N26°07′06.090″ | E32°05′40.335″ | 88.37 |
ISNA | N25°17′20.274″ | E32°33′28.518″ | 102.49 | WAKF | N26°03′41.760″ | E32°25′52.706″ | 109.83 |
KBER | N30°43′56.659″ | E31°40′21.508″ | 33.15 | DYNG | N38°04′42.788″ | E23°55′56.765″ | 510.56 |
LXOR | N25°42′29.159″ | E32°39′09.500″ | 110.58 | NICO | N35°08′27.558″ | E33°23′47.216″ | 190.02 |
MNSH | N26°29′00.621″ | E31°47′39.230″ | 96.24 | NKLG | N00°21′14.072″ | E09°40′19.660″ | 31.49 |
MNZL | N31°09′36.216″ | E31°56′04.274″ | 36.95 | NOT1 | N36°52′33.049″ | E14°59′23.246″ | 126.35 |
MOUS | N27°38′36.827″ | E30°51′27.876″ | 82.44 | RAMO | N30°35′51.388″ | E34°45′47.314″ | 886.84 |
MTMR | N30°54′45.358″ | E30°09′31.184″ | 33.16 | YKRO | N06°52′14.023″ | W05°14′24.327″ | 270.26 |
Statistics of continuous lack of observation data for ESA-CORS
Station ID | DOY 201 | DOY 202 | DOY 203 | Station ID | DOY 201 | DOY 202 | DOY 203 |
---|---|---|---|---|---|---|---|
ADFO | 4 h | - | - | QANA | 9 h | 9 h | 9 h |
ADWH | 1 h | - | - | QANT | 1 h | - | - |
BLTM | 6 h | 12 h | 8 h | RMDN | 3 h | - | - |
DMNH | 13 h | 6 h | 5 h | THAT | 1 h | - | - |
ISNA | 2 h | - | - | TSHT | 8 h | - | - |
KBER | 16 h | 16 h | 16 h | WAKF | 22 h | - | - |
MNSH | 1 h | - | - |
Statistics of static-PPP solution for ESA-CORS in millimeters
DOY201 | DOY202 | DOY203 | Overall mean values | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
E | N | h | E | N | h | E | N | h | E | N | h | |
Max. | 20.0 | 15.0 | 44.0 | 10.0 | 15.0 | 48.0 | 9.0 | 10.0 | 48.0 | 13.0 | 13.3 | 46.7 |
6.5 | 4.2 | 18.5 | 6.0 | 4.6 | 17.4 | 4.3 | 4.2 | 17.6 | 5.6 | 4.3 | 17.8 | |
Min. | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.0 |
RMSE | 7.7 | 5.6 | 22.3 | 6.4 | 5.8 | 22.7 | 4.8 | 5.0 | 22.2 | 6.3 | 5.5 | 22.4 |
SD | 4.2 | 3.8 | 12.8 | 2.3 | 3.6 | 14.8 | 2.1 | 3.8 | 13.7 | 2.9 | 3.7 | 13.8 |
SD95% | 2.1 | 1.8 | 5.8 | 2.0 | 1.8 | 6.3 | 1.9 | 1.8 | 7.0 | 2.0 | 1.8 | 6.4 |
List of available PPP software and free online services
Software package | Provider | |
---|---|---|
PPP software package | gLAB | Research group of Astronomy and Geomatics (gAGE) from the Universitat Politecnica de Catalunya (UPC) ( |
Net_Diff | GNSS Analysis Center, Shanghai Astronomical Observatory, Chinese Academy of Sciences ( |
|
PRIDE PPP-AR | GNSS Research Center of Wuhan University, China ( |
|
GAMP | Research group at the German Research Centre for Geosciences GFZ ( |
|
Bernese GNSS V. 5.2 | Astronomical Institute of the University of Bern (AIUB), Switzerland (Dach & Walser 2015) | |
GIPSY-OASIS II | Jet Propulsion Laboratory (JPL), California Institute of Technology, USA ( |
|
RTKLIB | Tomoja Takasu at Tokyo University Marine Science and Technology, Japan ( |
|
NAPEOS | European Space Agency ( |
|
GAMIT/GLOBK | Department of Earth, Atmospheric, and Planetary Sciences at the Massachusetts Institute of Technology (MIT) ( |
|
PPP free online service | CSRS-PPP | Canadian Geodetic Survey (CGS) ( |
APPS-PPP | Jet Propulsion Laboratory (JPL), California Institute of Technology, USA ( |
|
GAPS-PPP | GNSS Analysis and Positioning Software, Department of Geodesy and Geomatics Engineering University of New Brunswick ( |
|
magicGNSS | GMV Aerospace and Defence S.A., Spain ( |
Statistics of static-PPP solution for IGS-CORS in millimeters
DOY201 | DOY202 | DOY203 | Mean | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
E | N | h | E | N | h | E | N | h | E | N | h | |
Max. | 3.0 | 3.0 | 8.0 | 2.0 | 2.0 | 12.0 | 4.0 | 2.0 | 3.0 | 2.3 | 8.3 | |
1.3 | 1.2 | 3.3 | 1.0 | 1.3 | 5.5 | 1.2 | 1.2 | 3.0 | 1.2 | 1.2 | 3.9 | |
Min. | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.3 | 1.0 |
RMSE | 1.7 | 1.6 | 4.5 | 1.3 | 1.5 | 6.7 | 1.8 | 1.2 | 3.2 | 1.6 | 1.4 | 4.8 |
SD | 1.2 | 1.2 | 3.3 | 0.9 | 0.8 | 4.2 | 1.5 | 1.2 | 1.3 | 1.2 | 1.1 | 2.9 |
SD95% | 1.0 | 0.8 | 1.0 | 0.9 | 0.8 | 1.0 | 0.5 | 0.8 | 1.3 | 0.8 | 0.8 | 1.1 |
CSRS-PPP processing parameters
Item | Processing parameter |
---|---|
GNSS system | GPS and GLONASS |
Reference system | ITRF2014 (epoch 2019) |
Coordinate format | XYZ/Ellipsoidal/UTM |
Satellite orbit and clock ephemeris | IGS final (Orbit: 15-minute interval & clock: 30-second interval) |
Satellite phase center offsets | IGS-ANTEX ( |
Receiver phase center offsets | IGS-ANTEX ( |
Elevation angle | 7.5° |
Sampling rate | 30 s |
Ionospheric model | Linear ionosphere-free combination + second-order parameters |
Tropospheric model | Dry: Davis (GPT) ( Wet: Hopfield model (GPT) ( VMF1 (Böhm & Schuh 2004) |
Software | CSRS-PPP |
Observation data | Single/dual frequency and static/kinematic |
Data transfer | |
Ocean tide loading | FES 2004 ( |